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Observational determination of the galaxy bias from cosmic variance with a random pointing survey: clustering ofz∼ 2 galaxies from Hubble’s BoRG survey

2018/11/08 by Alex J. Cameron, Alex Cameron, Michele Trenti +2
Physics and Astronomy · #Astronomy #Astronomy and Astrophysical Research #Astrophysics #COSMIC cancer database #Cosmic time #Galaxies: Formation, Evolution, Phenomena #Galaxy #Physics #Radio Astronomy Observations and Technology #Redshift #astro-ph.GA

paper · pdf · doi:10.1093/mnras/sty3069

14 pages, 9 figures, accepted for publication in MNRAS

arxiv created 2018/11/08 · openalex publication_date 2018/11/08 · openalex created_date 2018/11/16 · arxiv updated 2018/11/28 · openalex updated_date 2026/08/05

Abstract

Gravitational clustering broadens the count-in-cells distribution of galaxies for surveys along uncorrelated (well-separated) lines of sight beyond Poisson noise. A number of methods have proposed to measure this excess ‘cosmic’ variance to constrain the galaxy bias (i.e. the strength of clustering) independently of the two-point correlation function. Here we present an observational application of these methods using data from 141 uncorrelated fields (∼700 arcmin2 total) from Hubble’s Brightest of Reionizing Galaxies (BoRG) survey. We use BoRG’s broad-band imaging in optical and near-infrared to identify N ∼ 1000 photometric candidates at |z| ∼ 2 through a combination of colour selection and photometric redshift determination, building a magnitude-limited sample with mAB ≤ 24.5 in F160W. We detect a clear excess in the variance of the galaxy number counts distribution compared to Poisson expectations, from which we estimate a galaxy bias b ≈ 3.63 ± 0.57. When divided by SED-fit classification into ∼400 early-type and ∼600 late-type candidates, we estimate biases of bearly ≈ 4.06 ± 0.67 and blate ≈ 2.98 ± 0.98, respectively. These estimates are consistent with previous measurements of the bias from the two-point correlation function, and demonstrate that with N ≳ 100 sightlines, each containing N ≳ 5 objects, the counts-in-cell analysis provides a robust measurement of the bias. This implies that the method can be applied effectively to determine clustering properties (and characteristic dark-matter halo masses) of |z| ∼ 6–9 galaxies from a pure-parallel James Webb Space Telescope survey similar in design to Hubble’s BoRG survey.

Citations